class_docstr: Simple version FMM(Forward Maximun Matching) word tokenizer. This tokenizer can only
  be used in topic model demo, but not in real business application scenarios.
  
  Notes: This tokenizer can only recognize the words in the corresponding vocab file.
class_docstr_tok: ["Simple","version","FMM","(","Forward","Maximun","Matching",")","word","tokenizer",".","This","tokenizer","can","only","be","used","in","topic","model","demo",",","but","not","in","real","business","application","scenarios",".","Notes",":","This","tokenizer","can","only","recognize","the","words","in","the","corresponding","vocab","file","."]
docstr: Check whether the word is in the vocabulary.
          
docstr_tok: ["Check","whether","the","word","is","in","the","vocabulary","."]
code: def contains(self, word):
      """Check whether the word is in the vocabulary."""
      return word in self.__vocab
  
file_path: PaddleHub/modules/text/language_model/lda_news/tokenizer.py
label_desc: Use image node_id 3 for calling the SimpleTokenizer obj's underlying member method code with example usage: obj.contains(word) and returns: unknown